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An Investigation of the Dynamical Transitions in Harmonically Driven Random Networks of Firing-Rate Neurons
Continuous-time recurrent neural networks are widely used as models of neural dynamics and also have applications in machine learning. But their dynamics are not yet well understood, especially when they are driven by external stimuli. In this article, we study the response of stable and unstable ne...
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| Опубликовано в: : | Cognit Comput |
|---|---|
| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer US
2017
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5487873/ https://ncbi.nlm.nih.gov/pubmed/28680506 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12559-017-9464-6 |
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